Dr Remi Zallot

Uchafbwyntiau Ymchwil

1. Zallot, R., Oberg, N., & Gerlt, J. (2019). The EFI Web Resource for Genomic Enzymology Tools: Leveraging Protein, Genome, and Metagenome Databases to Discover Novel Enzymes and Metabolic Pathways. Biochemistry, 58(41), 4169-4182.

   https://doi.org/10.1021/acs.biochem.9b00735, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53170
2. Yuan, Y., Zallot, R., Grove, T., Payan, D., Martin-Verstraete, I., Šepić, S., Balamkundu, S., Neelakandan, R., Gadi, V., Liu, C., Swairjo, M., Dedon, P., Almo, S., Gerlt, J., & Crécy-Lagard, V. (2019). Discovery of novel bacterial queuine salvage enzymes and pathways in human pathogens. Proceedings of the National Academy of Sciences, 116(38), 19126-19135.

   https://doi.org/10.1073/pnas.1909604116, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53171
3. Zallot, R., Oberg, N., & Gerlt, J. (2018). ‘Democratized’ genomic enzymology web tools for functional assignment. Current Opinion in Chemical Biology, 47, 77-85.

   https://doi.org/10.1016/j.cbpa.2018.09.009, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53172
4. Carter, M., Zhang, X., Huang, H., Bouvier, J., Francisco, B., Vetting, M., Al-Obaidi, N., Bonanno, J., Ghosh, A., Zallot, R., Andersen, H., Almo, S., & Gerlt, J. (2018). Functional assignment of multiple catabolic pathways for d-apiose. Nature Chemical Biology, 14(7), 696-705.

   https://doi.org/10.1038/s41589-018-0067-7, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53173
5. Harrison, K., Crécy-Lagard, V., & Zallot, R. (2018). Gene Graphics: a genomic neighborhood data visualization web application. Bioinformatics, 34(8), 1406-1408.

   https://doi.org/10.1093/bioinformatics/btx793, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53174
6. Zallot, R., Yuan, Y., & Crécy-Lagard, V. (2017). The Escherichia coli COG1738 Member YhhQ Is Involved in 7-Cyanodeazaguanine (preQ0) Transport. Biomolecules, 7(4), 12

   https://doi.org/10.3390/biom7010012, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53175
7. Zallot, R., Ross, R., Chen, W., Bruner, S., Limbach, P., & Crécy-Lagard, V. (2017). Identification of a Novel Epoxyqueuosine Reductase Family by Comparative Genomics. ACS Chemical Biology, 12(3), 844-851.

   https://doi.org/10.1021/acschembio.6b01100, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53176
8. Mimura, M., Zallot, R., Niehaus, T., Hasnain, G., Gidda, S., Nguyen, T., Anderson, E., Mullen, R., Brown, G., Yakunin, A., Crécy-Lagard, V., Gregory, J., McCarty, D., & Hanson, A. (2016). Arabidopsis TH2 Encodes the Orphan Enzyme Thiamin Monophosphate Phosphatase. The Plant Cell, 28(10), 2683-2696.

   https://doi.org/10.1105/tpc.16.00600, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53177
9. Zallot, R., Harrison, K., Kolaczkowski, B., & Crécy-Lagard, V. (2016). Functional Annotations of Paralogs: A Blessing and a Curse. Life, 6(3), 39

   https://doi.org/10.3390/life6030039, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53178
10. Hasnain, G., Roje, S., Sa, N., Zallot, R., Ziemak, M., Crécy-Lagard, V., Gregory, J., & Hanson, A. (2016). Bacterial and plant HAD enzymes catalyse a missing phosphatase step in thiamin diphosphate biosynthesis. Biochemical Journal, 473(2), 157-166.

    https://doi.org/10.1042/bj20150805, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53179
11. Huang, L., Khusnutdinova, A., Nocek, B., Brown, G., Xu, X., Cui, H., Petit, P., Flick, R., Zallot, R., Balmant, K., Ziemak, M., Shanklin, J., Crécy-Lagard, V., Fiehn, O., Gregory, J., Joachimiak, A., Savchenko, A., Yakunin, A., & Hanson, A. (2016). A family of metal-dependent phosphatases implicated in metabolite damage-control. Nature Chemical Biology, 12(8), 621-627.

    https://doi.org/10.1038/nchembio.2108, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53180
12. Henry, C., Lerma-Ortiz, C., Gerdes, S., Mullen, J., Colasanti, R., Zhukov, A., Frelin, O., Thiaville, J., Zallot, R., Niehaus, T., Hasnain, G., Conrad, N., Hanson, A., & Crécy-Lagard, V. (2016). Systematic identification and analysis of frequent gene fusion events in metabolic pathways. BMC Genomics, 17(1)

    https://doi.org/10.1186/s12864-016-2782-3, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53181
13. Zallot, R., Oberg, N., & Gerlt, J. (2021). Discovery of new enzymatic functions and metabolic pathways using genomic enzymology web tools. Current Opinion in Biotechnology, 69, 77-90.

    https://doi.org/10.1016/j.copbio.2020.12.004, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa60085

    http://dx.doi.org/10.1016/j.copbio.2020.12.004

Holl Ymchwil

• PM-256 Communicating Medical Sciences

  ¿Nothing in science has any value if it is not communicated¿ (Anne Roe, 1904-1991). An important aspect of the role of scientists concerns the communication of complex scientific ideas and research to both scientist and non-scientist audiences. This module will build upon and explore methods of science communication, including journal papers, abstracts, podcasts (digital audio files), and posters. Students will also be introduced to science communication methods for non-scientist audiences, including public events and health campaigns. Students will be required to write an abstract, write and deliver a journal club podcast, and design an evidence-based public health awareness campaign.

• PM-344 Capstone Project

  The aim of this module is to provide a capstone experience to students¿ learning, through participating in their own enquiry-based research project. The project may be laboratory or non-laboratory based, but it will always involve a research question that is drawn from the literature, and focused on a topic relevant to the life sciences. It will ask a novel research question and involve the critical analysis of research findings. Students will refine their oral and written communication skills to a graduate level through creating an introductory presentation on the project background, and a written dissertation and oral presentation on their research conclusions.

• PM-361 Bioinformatics: From Sequence to Function

  The ever increasing availability of genome sequences and protein structure data demands that molecular biologists are proficient at performing extensive data analyses to guide and support traditional laboratory-based research. This Module will provide the theoretical basis and practical training on computational tools currently used to assemble and interrogate genome sequences, infer gene and protein functions, and to examine protein structure data.

• PM-361C Biowybodeg: O ddilyniant i swyddogaeth

  Mae argaeledd cynyddol dilyniannau genom a data strwythur protein yn mynnu bod biolegwyr moleciwlaidd yn hyfedr wrth berfformio dadansoddiadau data helaeth i arwain a chefnogi ymchwil draddodiadol mewn labordy. Bydd y Modiwl hwn yn darparu sylfaen ddamcaniaethol a hyfforddiant ymarferol ar offer cyfrifiadol a ddefnyddir ar hyn o bryd i gydosod a holi dilyniannau genom, casglu swyddogaethau genynnau a phrotein, ac i archwilio data strwythur protein.